Counter Terrorism Through Information Technology
Countering Terrorism Through Information Technology Author: Popp, R. et al. September 11, 2001 might have been just another day if the U.S. intelligence agencies had been better equipped with information technology, according to the report of Congress’s Joint Inquiry into the events leading up to the Sept. 11 attacks. The report claims that enough relevant […]
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Countering Terrorism with IT and Privacy Protection
Countering Terrorism through Information and Privacy Protection Technologies Author: Popp, R. & Poindexter, J. Abstract Security and privacy aren’t dichotomous or conflicting concerns—the solution lies in developing and integrating advanced information technologies for counterterrorism along with privacy-protection technologies to safeguard civil liberties. Coordinated policies can help bind the two to their intended use. The terrorist […]
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Information Technologies for Countering Terrorism
Emergent Information Technologies and Enabling Policies for Counter-Terrorism. Editors: Popp, R. & Yen, J. This book explores both counter-terrorism and enabling policy dimensions of emerging information technologies in national security. After the September 11th attacks, “connecting the dots” has become the watchword for using information and intelligence to protect the United States from future terrorist […]
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Social Science to Understand Strategic Threat
Utilizing Social Science Technology to Understand and Counter the 21st Century Strategic Threat Author: Popp, R. During the Cold War era, the strategic threat against the US was clear. The country responded clearly with a policy toward the Soviet threat that centered on deterrence, containment, and mutually assured destruction. To enforce this policy, the US […]
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m-Best S-D Assignment Algorithm for Tracking
m-Best S-D Assignment Algorithm with Application to Multitarget Tracking. Author: Popp, R., Pattipati, K. & Bar-Shalom, Y. Abstract In this paper we describe a novel data association algorithm, termed m-best S-D, that determines in O(mSkn^3) time (m assignments, S >=3 lists of size n, k relaxations) the (approximately) m-best solutions to an S-D assignment problem. […]
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m-Best 2-D Assignment Algorithm Parallelization
Dynamically Adaptable m-Best 2-D Assignment Algorithm and Multilevel Parallelization Author: Popp, R., Pattipati, K. & Bar-Shalom, Y. Abstract In recent years, there has been considerable interest within the tracking community in an approach to data association based on the m-best two-dimensional (2-D) assignment algorithm. Much of the interest has been spurred by its ability to […]
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Parallelizations For Multitarget Tracking
Distributed- and Shared-Memory Parallelizations of Assignment-Based Data Association for Multitarget Tracking. Author: Popp, R., Pattipati, K. & Bar-Shalom, Y. Abstract To date, there has been a lack of efficient and practical distributed- and shared-memory parallelizations of the data association problem for multitarget tracking. Filling this gap is one of the primary focuses of the present […]
Continue ReadingData Association Shared Memory Parallelization
Shared Memory Parallelization of the Data Association Problem in Multi-Target Tracking Author: Popp, R., Pattipati, K., Bar-Shalom, Y. & Ammar, R. Abstract The focus of this paper is to present the results of our investigation and evaluation of various shared-memory parallelizations of the data association problem in multitarget tracking. The multitarget tracking algorithm developed was […]
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Parallel Tracking Algorithm with Super-linear Speedups
Parallelization of a Multiple Model Multi-target Tracking Algorithm with Super-linear Speedups Author: Popp, R., Pattipati, K., Bar-Shalom, Y. & Yeddanapudi, M. Abstract The interacting multiple model (IMM) estimator has been shown to be very effective when applied to air traffic surveillance problems. However, because of the additional filter modules necessary to cover the possible target […]
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